Pre-Publication V2. A model produced by adapting a pre-trained Large Language Model (LLM) to a specific downstream task using labeled data or additional datasets that are specific to a production, character, actor, visual style, or asset library. By adapting its parameters according to the specific data distribution and task requirements, the model is meant supposed to become becomes specialized in performing well on the target task and is capable of reproducing specific visual styles, characters, likenesses, or production-specific elements.
Deliberation Summary:
(1) Recommendation to clarify language as the term names a text model in its opening sentence while the remainder describes characters and visual assets produced by other model types, and that the concept applies equally to image, video, and audio models, which can also be fine-tuned. (2) Use language explaining how this technique differs from the adapter-based method defined separately. (3) Utilize language on what the model is intended to do.
Pre-Publication V1. A model produced by adapting a pre-trained Language Model (LLM) to a specific downstream task using labeled data or additional datasets that are specific to a production, character, actor, visual style, or asset library. By adapting its parameters according to the specific data distribution and task requirements, the model becomes specialized in performing well on the target task and is capable of reproducing specific visual styles, characters, likenesses, or production-specific elements.